Data Scientist

About the job you’re considering

We are seeking a highly skilled and innovative Generative AI/ML Data Scientist to lead the end-to-end development of advanced AI and machine learning models, with a specialized focus on Generative AI technologies such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). This role combines deep technical expertise with strategic thinking to deliver scalable, ethical, and production-ready AI solutions.

Your role

• Design, develop, and fine-tune generative AI models including LLMs, transformers, and diffusion models.
• Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance and contextual relevance.
• Conduct cutting-edge research in generative AI, staying abreast of the latest advancements in the field.
• Develop data pipelines for continuous model improvement and monitoring.
• Collaborate with engineering teams to deploy models into production environments using MLOps best practices.
• Optimize models for latency, scalability, and cost-efficiency in real-world applications.
• Communicate complex technical concepts to non-technical stakeholders.

Your skills and experience

• Bachelor's or Ph.D. in Computer Science, Data Science, Machine Learning, or related field.
• 5+ years of experience in applied machine learning, with at least 2 years in generative AI.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers.
• Strong understanding of LLM architectures, training techniques, and evaluation metrics.
• Experience with vector databases (e.g., FAISS, Pinecone) and RAG implementations.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Excellent problem-solving, communication, and collaboration skills.

Nice to Have

• Experience with multimodal generative models (e.g., text-to-image, speech-to-text).
• Contributions to open-source AI/ML projects or published research.
• Knowledge of MLOps tools (MLflow, Weights & Biases).
• Experience in deploying models in enterprise environments.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Sp